//简介部分 首页四个方框位置文本
export interface DocumentType {
  title: string;
  content: string;
  img?: any;
}

export const briefInfoDocument: Record<string, DocumentType[]> = {
  zh: [
    {
      title: "性能优越",
      content: " 计算可水平扩展，完全弹性伸缩扩展，让实验教学真正弹性化。",
    },
    {
      title: "稳定安全",
      content:
        "保证数据计算不重不丢，数据质量严格保证。分布式集群计算无单点，故障无需人工干预自动恢复。",
    },
    {
      title: "简单易用",
      content: "无需学习门槛，即学即用、快速上手，让你专注于学习。",
    },
    {
      title: "功能强大",
      content:
        "支持实时及离线数据清洗、数据分析、数据同步等相关功能，以及各种流式及静态数据源关联查询。",
    },
  ],
  en: [
    {
      title: "Superior performance",
      content:
        "The calculation can be extended horizontally and completely elastic, so that the experimental teaching is really flexible.",
    },
    {
      title: "Stable and secure",
      content:
        "Ensure that the data calculation is not lost, data quality is strictly guaranteed. Distributed cluster computing has no single point, and the fault is automatically recovered without manual intervention.",
    },
    {
      title: "Simple and easy to use",
      content:
        "There is no threshold for learning, which allows you to focus on learning.",
    },
    {
      title: "powerful",
      content:
        "Supports real-time and offline data cleaning, data analysis, data synchronization and other related functions, as well as associated query of various streaming and static data sources.",
    },
  ],
};
//首页 介绍部分文本
export const introduceInfoDocument: Record<string, DocumentType[]> = {
  en: [
    {
      title: "We will improve the quality of teaching in institutions",
      content:
        "Events reflects the line, schools, enterprises joint design train of thought, promote the cooperation between colleges collaborative education, docking industry development, industry resources, organic combination of enterprise resources and teaching resources, and in view of the large machine learning and data industry typical jobs, trains the student to machine learning and data application skills, to achieve in order to promote teaching, in order to promote learning purposes, So that the school can better construction of specialty, improve the quality of teaching, innovation of teaching mode.",
    },
    {
      title: "Enhancing the influence of institutions",
      content:
        'The BRICS Skills Development and Technology Innovation Competition is an international competition sanctioned by the BRICS Business Council, an international governmental organization, in the context of "Deepening BRICS Partnership for a Brighter Future". Participating schools have the opportunity to go abroad to exchange and study with each other, thus expanding their influence in China.',
    },
    {
      title: "Improve the quality of employment",
      content:
        'Starting from the job post ability, with the concept of "qualified for the first post, adapt to the transfer post, and have the momentum of development", several core competencies are determined as the competition tasks. Unified competition management platform and virtualization technology are used to provide machine learning and big data competition environment. The competition environment is highly similar to the production environment, which is beneficial for players to obtain practical experience through competition and improve their employability.',
    },
    {
      title:
        "We will promote integration and innovation between industry and education",
      content:
        "The teaching of machine learning and big data majors pays more attention to students' practical operation ability, rather than traditional theoretical teaching. The course resources and project cases of this competition can be used in practical teaching, so that the school can obtain more cutting-edge project cases in line with enterprises. Take the competition-related content as the carrier, complete the teaching case through project-led and task-driven. The competition platform can be transformed into a teaching laboratory through technological upgrading.",
    },
  ],
  zh: [
    {
      title: "提升院校教学质量",
      content:
        "赛项体现了行、校、企联合设计思路，促进校企合作协同育人，对接产业发展，实现行业资源、企业资源与教学资源的有机融合，针对机器学习与大数据行业典型工作岗位，培养学生机器学习与大数据应用技能，达到以赛促教，以赛促学的目的，使学校能够更好地建设专业，提高教学质量，创新教学模式。",
    },
    {
      title: "提升院校影响力",
      content:
        "金砖国家技能发展与技术创新大赛是在“深化金砖伙伴关系，开辟更加光明未来”背景下，由政府国际组织金砖国家工商理事会批准的一项国际级赛事。参赛院校有机会获得走出国门互相交流学习的机会，从而扩大了院校在国内的影响力。",
    },
    {
      title: "提高就业质量",
      content:
        "从工作的岗位能力出发，以“首岗能胜任，转岗能适应，发展有后劲”的理念，确定几个核心能力作为竞赛任务。使用统一的比赛管理平台，利用虚拟化技术提供机器学习与大数据比赛环境，比赛环境和生产环境高度相似，有利于选手通过比赛获取实际经验，提升选手就业能力。",
    },
    {
      title: "促进产教融合创新",
      content:
        "机器学习和大数据专业教学更注重学生的实际操作能力，并不是传统的理论教学，该竞赛的课程资源以及项目案例，可以用于实际教学中，从而使学校获得了更前沿与企业接轨的项目案例。以竞赛相关内容为载体，通过项目引领，任务驱动完成教学案例。竞赛平台通过技术升级可以改造为教学实验室。",
    },
  ],
};
